Browsing by Author "Inouye, David"
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Item An Access database of records collated from the literature about flies pollinating or at least visiting flowers, updated 2017(2017-04-20) Inouye, DavidAn Access database of over 11,000 records collated from the literature about flies pollinating or at least visiting flowers (version updated as of April 2017). An accompanying EndNote bibliography of the 499 papers from which the data were obtained is also available.Item Appendices to "Colonization of thistles by biocontrol agents"(2005-02-02T13:25:30Z) Dodge, Gary; Louda, Svata; Inouye, DavidAppendices B, C, and D for a manuscript from Gary Dodge's dissertation research (Biology Department, UMCP).Item Database of fly visitation to flowers collated by David Inouye 2013(2013-09-24) Inouye, DavidAn Access database of records collated from the literature about flies pollinating or at least visiting flowers.Item EndNote database of pollination biology publications(2017-04-14) Inouye, David W.; Inouye, DavidThis is an EndNote database containing 13,000+ entries related to pollination biology, compiled by Dr. David W. Inouye (Department of Biology, University of Maryland). This is an ongoing project, and you can contact me at inouye@umd.edu to obtain updates, or look for newer versions uploaded to this site occasionally. This version is current as of 20 April 2017.Item Flowering phenology at the Rocky Mountain Biological Laboratory 1973-2012(2013-07-31) Inouye, DavidThis spreadsheet contains data on the phenology (timing) and abundance of flowering by wildflowers in 30 2x2m plots at the Rocky Mountain Biological Laboratory, from an NSF-funded research project conducted by Dr. David W. Inouye and collaborators. Metadata for this project are also available on DRUM. NOTE ADDED APRIL 2017: There is now a (slightly) corrected version of this dataset, which also includes data through 2016, assembled primarily by Dr. Jane Ogilvie and Dr. Amy Iler, through support from the National Science Foundation's program "Long-term Research in Environmental Biology". It is archived on the Open Science Framework, at https://osf.io/jt4n5/. The site includes a link to a data use policy document, which we ask users to fill out and submit so we can track use of the data and help to prevent duplication of analyses.